【内容简介】
Digital signal processing (DSP) is the study of signals in a digital representation and the processing methods of these signals. Using radar imaging as an example, this book describes DSP principles and demonstrates how tools like MATLAB can solve DSP problems in real-life applications. It covers the development of new hardware and system architectures, and provides flowcharts, system block diagrams, and programs to apply DSP principles to Radar Imaging Processing algorithms. This comprehensive guide will appeal to a wide range of graduate students and engineering, communication, and systems professionals.
【目次】
Preface Chapter 1: Signal Theory and Analysis.
1.1 Special Functions Used in Signal Processing.
1.2 Linear System and Convolution.
1.3 Fourier Series Representation of Periodic Signals.
1.4 Non-Periodic Signal Representation by Fourier Transform.
1.5 Fourier Transform of a Periodic Signal.
1.6 Sampling Theory and Interpolation.
1.7 Advanced Sampling Techniques.
1.7.1 Sampling with Passband Signal.
1.7.2 Resampling by Evenly Spaced Decimation.
1.7.3 Resampling by Evenly Spaced Interpolation.
1.7.4 Resampling by Fractional Rate Interpolation
1.7.5 Resampling from Unevenly Spaced Data. Chapter
2: Discrete Time and Frequency Transformation
2.1 Continuous and Discrete Fourier Transform
2.2 Key Properties of Discrete Fourier Transform
2.2.1 Shifting and Symmetry
2.2.2 Linear and Circular Convolution
2.2.3 Sectioned Convolution
2.2.4 Zero Stuffing and DFT resolution
2.3 Windows and Discrete Fourier Transform
2.4 Fast Fourier Transform
2.5 Discrete Cosine Transform
2.6 Continuous and Discrete Signals in Time and Frequency Domain
2.6.1 Graphic Illustration of DFT
2.6.2 Resampling with Fractional Interpolation Based on DFT. Chapter
3: Basics of Antenna Theory
3.1 Maxwell and Wave Equations
3.2 Radiation from an Infinitesimal Current Dipole
3.3 Radiation from a Half-Wavelength Dipole
3.4 Radiation from a Linear Array
3.5 Power Radiation Pattern from a 2-D Rectangular Array
3.6 Fundamentals of Antenna Parameters
3.7 Commonly Used Antenna Geometries
3.7.1 Single Element Radiators
3.7.2 Microstrip Antennae and Antenna Array. Chapter
4: Fundamentals of Radar
4.1 Principles of Radar Operation
4.2 Basic Configuration of Radar
4.3 The Radar Range Equation
4.4 Cross Section and Clutter
4.5 Doppler Effect and Frequency Shift
4.6 Radar Resolution and Ambiguity Function. Chapter
5: Radar Modulation and Target Detection Techniques
5.1 Amplitude Modulation (AM) Radar
5.1.1 Continuous-Wave (CW) Radar
5.1.2 Pulse-Modulation Radar
5.2 Target Detection Techniques of AM Based Radar
5.2.1 Doppler Frequency Extraction
5.2.2 Motion Direction Detection
5.3 Frequency Modulation (FM) Radar
5.3.1 Pulsed LFM Radar
5.3.2 Continuous Wave Linear Frequency Modulation (LFM-CW) Radar
5.3.3 Stepped Frequency Modulation (SFM) Radar
5.4 Target Detection Techniques of FM-based Radar
5.4.1 In-phase Quadrature-phase Demodulator
5.4.2 Matched Filter and Pulse Compression
5.4.3 Target Detection Techniques of LFM Radar
5.4.4 Target Detection Techniques of SFM Radar Chapter
6: Basics of Radar Image
6.1 Background
6.2 Geometry of Imaging Radar
6.3 Doppler Frequency and Radar Image Processing
6.3.1 Broadside SAR
6.3.2 SAR with Squint Angle
6.3.2.1 SAR with a Small Squint Angle
6.3.2.2 SAR with a Low Squint Angle
6.4 Range Migration and Curvature
6.5 Geometric Distortions of the Radar Image
6.6 Resolution of Radar Image. Chapter
7: System Model and Data Acquisition of SAR Image
7.1 System Model of Range Radar Imaging
7.1.1 System Model
7.1.2 Reconstruction of Range Target Function
7.2 System Model of Cross-Range Radar Imaging#60